Product Manager, Agentic Governance Capabilities

Google•Boulder, CO

3d•$163,000 - $236,000

About The Position

The Technical Risk Management (TRM) organization is developing a Privacy, Compliance, and Risk practice at Google. Its SDLC Governance program aims to transform how Google manages technical risk across the Software Development Life Cycle while accelerating launch velocity. The team is building agentic capabilities to scale operations, identify risks earlier, and streamline release clearance by moving from manual reviews to continuous, automated compliance verification across development and launch. The Product Manager will define product strategy for agentic governance and lead a designated capability area within SDLC Governance. The role owns AI agents and automated validation systems from conception to launch, partnering with Product Managers, Software Engineers, UX designers, Privacy Engineers, Legal, risk practitioners, and product teams across Google. The work includes translating regulatory and policy requirements into technical specifications and automated workflows, integrating projects across global teams, and helping Google manage key risks while maintaining product velocity.

Requirements

Bachelor's degree or equivalent practical experience.
5 years of experience in product management or a related technical role.
2 years of experience taking technical products from conception to launch.

Nice To Haves

Experience building, evaluating, or shipping LLM-powered and agentic workflows, including defining quality benchmarks, precision/recall guardrails, and human-in-the-loop patterns.
Experience preparing and delivering technical presentations to senior leadership, with strong influence across distributed engineering and domain expert teams.
Familiarity with developer tools, SDLC/code review workflows, or technical risk and compliance systems.
Proven ability to synthesize conflicting stakeholder signals from Engineering, Legal, Privacy, and UX to drive clear decisions and fast, high-quality execution.
Ability to structure ambiguous, multi-stakeholder problem spaces into clear product strategies, metric frameworks, and phased roadmaps.

Responsibilities

Deliver a multi-quarter goal, strategy, and roadmap for a designated capability area within SDLC Governance.
Make data-informed prioritization and investment decisions that focus engineering teams on initiatives that improve product velocity and risk posture.
Own the full lifecycle of AI agents and automated validation systems, from conception to launch.
Write product specifications, define success metrics and evaluation rubrics, and partner with Engineering and UX on technical implementation and integration into developer and launch workflows.
Work with Privacy Engineers, Legal, and risk practitioners to translate regulatory and policy requirements into technical specifications, automated checks, and agentic workflows.
Guide integration of adjacent projects across distributed global teams.
Communicate product strategy to executive leadership and partner Product Areas, and resolve technical, UX, and policy trade-offs.